Diagnose triage bugs with Claude Code

Speed up your bug triage process by handing new bugs to Claude Code as an AI code debugger that runs software root cause analysis on your repository and posts the suspected cause and fix to the ticket.

Useful for
Engineering triage owners and the developers on triage rotation who do first pass bug reproduction and code investigation, plus the engineering leads who depend on scoped tickets.

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On a schedule, every [schedule frequency, e.g. every 15 minutes], an AI agent (Claude Code, run as a Claude Routine) picks up new bug tickets sitting in triage in [issue tracking system] and spins up a cloud environment with the product repository from [code repository host] attached. The agent decides which files, recent commits, and execution paths to examine based on what the report describes and what it uncovers as it reads the code. It then comments on the originating ticket in [issue tracking system] with the suspected root cause, the specific files and functions involved, and what needs to change.

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Problem

Engineering teams pick up each newly reported bug in triage and manually dig through the codebase to reproduce it and work out what is actually broken. This first pass investigation pulls engineers off feature work and leaves tickets sitting in triage until someone has time to look.

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Solution

On a schedule, an AI agent picks up new bug tickets in triage from the issue tracker and spins up a Claude Routine cloud environment with the product repository attached. The agent decides which files, recent commits, and execution paths to examine based on what the report describes and what it uncovers as it reads the code. It then comments on the originating ticket with the suspected root cause, the specific files and functions involved, and what needs to change.

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Impact

Bug tickets reach an engineer already carrying a code level diagnosis of what is broken and where, turning triage into a review of findings rather than an investigation from scratch.

Benefits 

Who is this for? 

Engineering triage owners and the developers on triage rotation who do first pass bug reproduction and code investigation, plus the engineering leads who depend on scoped tickets.

Success stories

Adapt at speed with 
visual-first automation and AI 

Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.

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Route access requests to owners

When an employee sends an access request in team chat, an AI agent interprets it, identifies the specific app or resource being requested even when described informally, and locates the appropriate owner from an internal registry. The agent then routes the request to that owner with the relevant context for approval.

Route access requests to owners

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Assign backlog tickets to owners

On a recurring schedule, an AI agent reviews unassigned tickets in the project tracker backlog, interprets the context of each one, and weighs it against team assignment criteria to identify the most appropriate owner. It assigns each ticket to that team member and moves its status from backlog to active.

Assign backlog tickets to owners